package ds_industry_2025.ds.ds01.T2

import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.functions.{col, date_format, lit, to_timestamp}

import java.text.SimpleDateFormat
import java.util.Calendar

/*
  6、将ods库中order_detail表昨天的分区（子任务一中生成的分区）数据抽取到dwd库中fact_order_detail的动态分区表，分区字段
  为etl_date，类型为String，取create_time值并将格式转换为yyyyMMdd，并添加dwd_insert_user、dwd_insert_time、
  dwd_modify_user、dwd_modify_time四列，其中dwd_insert_user、dwd_modify_user均填写“user1”，dwd_insert_time、
  dwd_modify_time均填写当前操作时间，并进行数据类型转换。使用hive cli执行show partitions dwd.fact_order_detail命令，将
  结果截图粘贴至客户端桌面【Release\任务B提交结果.docx】中对应的任务序号下。
 */
object t6 {
  def main(args: Array[String]): Unit = {
    val spark = SparkSession.builder()
      .master("local[*]")
      .appName("t6")
      .config("hive.exec.dynamic.partition.mode","nonstrict")
      .config("spark.serializer","org.apache.spark.serializer.KryoSerializer")
      .config("spark.sql.extensions","org.apache.spark.sql.hudi.HoodieSparkSessionExtension")
      .enableHiveSupport()
      .getOrCreate()

      val day=Calendar.getInstance()
      val current_time=new SimpleDateFormat("yyyy-MM-dd HH:mm:ss").format(day.getTime)
      day.add(Calendar.DATE,-1)
      val yesterday=new SimpleDateFormat("yyyyMMdd").format(day.getTime)

    spark.table("ods.order_detail")
      .where(col("etl_date")===yesterday)
      .withColumn(
        "create_time",
        to_timestamp(lit(date_format(col("create_time"),"yyyyMMdd")),"yyyyMMdd")
      )
      .withColumn("dwd_insert_user",lit("user1"))
      .withColumn("dwd_insert_time",to_timestamp(lit(current_time)))
      .withColumn("dwd_modify_user",lit("user1"))
      .withColumn("dwd_modify_time",to_timestamp(lit(current_time)))
      .withColumn("etl_date",date_format(col("create_time"),"yyyyMMdd"))
      .write.format("hive")
      .mode("append")
      .partitionBy("etl_date")
      .saveAsTable("dwd.fact_order_detail")







    spark.close()

  }

}
